Machine Intelligence for Internet of Medical Things: Applications and Future Trends
eBook - ePub

Machine Intelligence for Internet of Medical Things: Applications and Future Trends

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Machine Intelligence for Internet of Medical Things: Applications and Future Trends

About this book

This book presents use-cases of IoT, AI and Machine Learning (ML) for healthcare delivery and medical devices. It compiles 15 topics that discuss the applications, opportunities, and future trends of machine intelligence in the medical domain. The objective of the book is to demonstrate how these technologies can be used to keep patients safe and healthy and, at the same time, to empower physicians to deliver superior care. Readers will be familiarized with core principles, algorithms, protocols, emerging trends, security problems, and the latest concepts in e-healthcare services. It also includes a quick overview of deep feed forward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, practical methodology, and how they can be used to provide better solutions to healthcare related issues. The book is a timely update for basic and advanced readers in medicine, biomedical engineering, and computer science. Key topics covered in the book: - An introduction to the concept of the Internet of Medical Things (IoMT) - Cloud-edge based IoMT architecture and performance optimization in the context of Medical Big Data - A comprehensive survey on different IoMT interference mitigation techniques for Wireless Body Area Networks (WBANs) - Artificial Intelligence and the Internet of Medical Things - A review of new machine learning and AI solutions in different medical areas. - A Deep Learning based solution to optimize obstacle recognition for visually impaired patients - A survey of the latest breakthroughs in Brain-Computer Interfaces and their applications - Deep Learning for brain tumor detection - Blockchain and patient data management

Frequently asked questions

Yes, you can cancel anytime from the Subscription tab in your account settings on the Perlego website. Your subscription will stay active until the end of your current billing period. Learn how to cancel your subscription.
No, books cannot be downloaded as external files, such as PDFs, for use outside of Perlego. However, you can download books within the Perlego app for offline reading on mobile or tablet. Learn more here.
Perlego offers two plans: Essential and Complete
  • Essential is ideal for learners and professionals who enjoy exploring a wide range of subjects. Access the Essential Library with 800,000+ trusted titles and best-sellers across business, personal growth, and the humanities. Includes unlimited reading time and Standard Read Aloud voice.
  • Complete: Perfect for advanced learners and researchers needing full, unrestricted access. Unlock 1.4M+ books across hundreds of subjects, including academic and specialized titles. The Complete Plan also includes advanced features like Premium Read Aloud and Research Assistant.
Both plans are available with monthly, semester, or annual billing cycles.
We are an online textbook subscription service, where you can get access to an entire online library for less than the price of a single book per month. With over 1 million books across 1000+ topics, we’ve got you covered! Learn more here.
Look out for the read-aloud symbol on your next book to see if you can listen to it. The read-aloud tool reads text aloud for you, highlighting the text as it is being read. You can pause it, speed it up and slow it down. Learn more here.
Yes! You can use the Perlego app on both iOS or Android devices to read anytime, anywhere — even offline. Perfect for commutes or when you’re on the go.
Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Yes, you can access Machine Intelligence for Internet of Medical Things: Applications and Future Trends by Mariya Ouaissa,Mariyam Ouaissa,Zakaria Boulouad, Mariya Ouaissa, Mariyam Ouaissa, Zakaria Boulouad in PDF and/or ePUB format, as well as other popular books in Médecine & Théorie, pratique et référence de la médecine. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Welcome
  2. Table of Content
  3. Title
  4. BENTHAM SCIENCE PUBLISHERS LTD.
  5. FOREWORD
  6. PREFACE
  7. List of Contributors
  8. Internet of Medical Things & Machine Intelligence
  9. Health Services and Applications Powered by the Internet of Medical Things
  10. An Approach to the Internet of Medical Things (IoMT): IoMT-Enabled Devices, Issues, and Challenges in Cybersecurity
  11. Internet of Medical Things in Cloud Edge Computing
  12. Survey of IoMT Interference Mitigation Techniques for Wireless Body Area Networks (WBANs)
  13. Artificial Intelligence-Based IoT Applications in Future Pandemics
  14. Cyber Secure AIoT Applications in Future Pandemics
  15. Machine Learning Solution for Orthopedics: A Comprehensive Review
  16. A Review of Machine Learning Approaches for Identification of Health-Related Diseases
  17. Machine Learning in Detection of Disease: Solutions and Open Challenges
  18. Breakthrough in Management of Cardiovascular Diseases by Artificial Intelligence in Healthcare Settings
  19. Smart Cane: Obstacle Recognition for Visually Impaired People Based on Convolutional Neural Network
  20. A Survey on Brain-Computer Interface and Related Applications
  21. Data Augmentation with Image Fusion Techniques for Brain Tumor Classification using Deep Learning
  22. Convergence Towards Blockchain-Based Patient Health Record and Sharing System: Emerging Issues and Challenges